Matt Cowell
👤 PersonAppearances Over Time
Podcast Appearances
It's in literally every area of the business where, you know, we make mistakes and and then, you know, hopefully those mistakes are low impact and they help us learn to make better decisions next time. And so I think that's the key. But if you do things in small pieces, you know, which is kind of the whole agile movement, right? You do things in small pieces.
then you break things down into bite-sized pieces, then the impact of bad mistakes is much, much smaller, and you're able to learn from them in a positive way and be better next time, which is, generally speaking, kind of how we tend to operate.
then you break things down into bite-sized pieces, then the impact of bad mistakes is much, much smaller, and you're able to learn from them in a positive way and be better next time, which is, generally speaking, kind of how we tend to operate.
then you break things down into bite-sized pieces, then the impact of bad mistakes is much, much smaller, and you're able to learn from them in a positive way and be better next time, which is, generally speaking, kind of how we tend to operate.
Yeah, like most startups, we think big. And so I honestly think that our vision, as a matter of fact, is that five years from now, companies or people all over the world will... There's going to be a transformation in data skills, sort of a human capital transformation. And honestly, I think in five years from now, companies...
Yeah, like most startups, we think big. And so I honestly think that our vision, as a matter of fact, is that five years from now, companies or people all over the world will... There's going to be a transformation in data skills, sort of a human capital transformation. And honestly, I think in five years from now, companies...
Yeah, like most startups, we think big. And so I honestly think that our vision, as a matter of fact, is that five years from now, companies or people all over the world will... There's going to be a transformation in data skills, sort of a human capital transformation. And honestly, I think in five years from now, companies...
And people all over the world will look and they will see QuantHub as the greatest facilitator of that transformation. And so it's so needed right now, and there just aren't great ways to accomplish it. And so from a product perspective, the way we get there is...
And people all over the world will look and they will see QuantHub as the greatest facilitator of that transformation. And so it's so needed right now, and there just aren't great ways to accomplish it. And so from a product perspective, the way we get there is...
And people all over the world will look and they will see QuantHub as the greatest facilitator of that transformation. And so it's so needed right now, and there just aren't great ways to accomplish it. And so from a product perspective, the way we get there is...
right now if you search on data literacy or you search on data citizens if you will quote unquote you see all kinds of training but that training is all the same it's all long form training it it almost takes us back to academia where where you you learn learn learn then you take a test and then you forget everything And there's plenty of learning science to back that up.
right now if you search on data literacy or you search on data citizens if you will quote unquote you see all kinds of training but that training is all the same it's all long form training it it almost takes us back to academia where where you you learn learn learn then you take a test and then you forget everything And there's plenty of learning science to back that up.
right now if you search on data literacy or you search on data citizens if you will quote unquote you see all kinds of training but that training is all the same it's all long form training it it almost takes us back to academia where where you you learn learn learn then you take a test and then you forget everything And there's plenty of learning science to back that up.
And we just don't approach it that way. So we're very much a micro learning platform. You learn a little bit every day. And we're much more like the language learning platforms, like the Duolingos of the world, which are those are based on learning science. And this is the best way to learn. This is the best way to retain information.
And we just don't approach it that way. So we're very much a micro learning platform. You learn a little bit every day. And we're much more like the language learning platforms, like the Duolingos of the world, which are those are based on learning science. And this is the best way to learn. This is the best way to retain information.
And we just don't approach it that way. So we're very much a micro learning platform. You learn a little bit every day. And we're much more like the language learning platforms, like the Duolingos of the world, which are those are based on learning science. And this is the best way to learn. This is the best way to retain information.
And so from a product perspective, we're going to continue to lean into that. We're going to lean into the best way for people actually to learn. Because I like to say that the problem we're trying to solve is in every company in the world, every person in the world type of problem. We all can actually use data more effectively. And it's just now pervasive. Data is everywhere.
And so from a product perspective, we're going to continue to lean into that. We're going to lean into the best way for people actually to learn. Because I like to say that the problem we're trying to solve is in every company in the world, every person in the world type of problem. We all can actually use data more effectively. And it's just now pervasive. Data is everywhere.
And so from a product perspective, we're going to continue to lean into that. We're going to lean into the best way for people actually to learn. Because I like to say that the problem we're trying to solve is in every company in the world, every person in the world type of problem. We all can actually use data more effectively. And it's just now pervasive. Data is everywhere.
And so you have to be able to use it effectively. And so from a product perspective, we'll continue to lean into making this as seamless a solution as possible where people can just spend a little bit every day And learn as opposed to having to go off site, spend eight hours, you know, 16 hours, 24 hours scheduling time to go to training that they're going to forget the next week.